Green vegetation extraction method based on visible light wave band

Orthophotos were generated from UAV RGB images and laser point cloud data. By combining the band characteristics of green vegetation objects and using bimodal histograms and Otsu's threshold segmentation method, the problem of misjudgment in green vegetation extraction was solved, and high-accuracy and high-resolution green vegetation extraction was achieved.

CN120894690APending Publication Date: 2025-11-04YUNNAN AGRICULTURAL UNIVERSITY
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Patent Information

Application Number
CN202511006828.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-22
Publication Date
2025-11-04

AI Technical Summary

Technical Problem

Existing technologies, when utilizing the visible light band differential vegetation index, are prone to misclassifying non-vegetation features such as green water bodies and green artificial grass as vegetation, resulting in inaccurate extraction of green vegetation.

Method used

By acquiring RGB images from UAVs and laser point cloud data, orthophotos are generated. By combining the average pixel values ​​of different bands of green vegetation objects and non-vegetation objects, the green vegetation index and optimal parameters are determined. Green vegetation is extracted using a bimodal histogram and Otsu's threshold segmentation method.

Benefits of technology

It improves the accuracy of green vegetation extraction, avoids the mis-extraction of non-vegetation features, and generates high-resolution green vegetation images.

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Abstract

The invention discloses a green vegetation extraction method based on a visible light wave band, and relates to the technical field of satellite remote sensing. Comprising the following steps: acquiring an RGB image of a to-be-detected area, preprocessing the RGB image to obtain an orthoimage, segmenting and extracting the orthoimage to obtain a segmented image, selecting a green vegetation object and a green non-vegetation object from the segmented image, and determining pixel average values of the green vegetation object and the green non-vegetation object in different wavebands; and determining a green vegetation index and an optimal parameter based on the pixel average value of the different wavebands of the green vegetation object, and extracting a green vegetation image of the to-be-detected area based on the optimal parameter. According to the method, other green ground features can be prevented from being extracted mistakenly, and the purpose of accurately extracting green vegetation is achieved.
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